摘要
以典型工业城市邢台市为对象,基于2018~2022年的空气质量监测数据和气象数据,分析了O_(3)的污染特征.通过地理探测器方法,研究了气象因素与前体物对O_(3)污染的单独及联合影响.利用空气质量模型评估了O_(3)生成的敏感性,并采用EKMA曲线确定不同控制区的最佳减排比例.研究表明,邢台市月均浓度呈倒V型,在6月出现O_(3)浓度高峰期,1月和12月出现O_(3)浓度低值,变化幅度为37.16~199.28μg/m^(3),不同季节O_(3)小时浓度及变化幅度大小均为夏季>春季>秋季>冬季.各驱动因素对地面O_(3)浓度影响存在显著的季节差异.在年度时间尺度上,气象因素对O_(3)污染的影响高于前体物.温度和太阳辐射是O_(3)浓度上升的主要正向驱动因素,而湿度和降水是主要的负向驱动因素.春夏季节,CO和NO_(2)为正向驱动,秋冬季则相反.邢台市中心城区及周边部分区县,以及清河县和临西县被确定为VOCs控制区,西北部和中东部区县则为VOCs和NO_(x)协同控制区,VOCs与NO_(x)的最佳减排分别为1.5:1和1:1.
Taking Xingtai,a typical industrial city,as the study object,the pollution characteristics of O_(3)were analyzed based on air quality monitoring and meteorological data from 2018 to 2022.The geographical detector method was employed to investigate the individual and combined impacts of meteorological factors and precursors on O_(3)pollution.An air quality model was used to assess the sensitivity of O_(3)generation,and EKMA curves were adopted to determine optimal emission reduction ratios in different control areas.The research revealed that the monthly average O_(3)concentrations in Xingtai exhibited an inverted V-shaped pattern,with peak values observed in June(199.28μg/m^(3))and trough values recorded in January and December(37.16μg/m^(3)).The hourly O_(3)concentrations and their variation ranges across seasons followed the order:summer>spring>autumn>winter.Significant seasonal differences were identified in the driving factors affecting surface O_(3)concentrations.On an annual scale,meteorological factors were found to exert greater influence on O_(3)pollution than precursor pollutants.Temperature and solar radiation were identified as the main positive driving factors for O_(3)concentration increases,while humidity and precipitation served as primary negative drivers.CO and NO_(2)were positive drivers in spring and summer but showed opposite effects in autumn and winter.The central urban area with surrounding counties,along with Qinghe and Linxi counties,were classified as VOCs control areas.The northwestern and central-eastern counties were designated as synergistic control areas for both VOCs and NO_(x).The optimal emission reduction ratios for between VOCs and NO_(x)were determined to be 1.5:1and 1:1,respectively,in the different control areas.
作者
蒋凯
侯晓松
程水源
JIANG Kai;HOU Xiao-song;CHENG Shui-yuan(Beijing Key Laboratory of Regional Air Pollution Control,College of Environmental Science and Engineering,Beijing University of Technology,Beijing 100124,China)
出处
《中国环境科学》
北大核心
2025年第7期3553-3563,共11页
China Environmental Science
基金
国家自然科学基金资助项目(52330002)。
